Submer is not only obsessed with Immersion Cooling, but also looks at the entire ecosystem surrounding datacenters for possible points of optimization. In this educational and informative webinar, we were joined by John Laban, from the Open Compute Project Foundation (OCP).
John helped us identify all points of electricity waste in the delivery of power to datacenters and HPC installations.
NVIDIA and VMware have formed a strategic partnership to transform the data center to bring AI and modern workloads to every enterprise.
NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software, optimized, certified, and supported by NVIDIA to run on VMware vSphere with NVIDIA-Certified Systems. It includes key enabling technologies from NVIDIA for rapid deployment, management, and scaling of AI workloads in the modern hybrid cloud.
After you enter the command “paraview” and If you are encountering errors like “Your OpenGL drivers don’t support required OpenGL, features for basic rendering. Applications cannot continue. Please exit and use an older version. CONTINUE AT YOUR OWN RISK! OpenGL Vendor: Information Unavailable, OpenGL Version: Information Unavailable OpenGL Renderer: Information Unavailable.
The output messages shows
“Unable to find a valid OpenGL 3.2 or later…
failed to create offscreen window
GLEW could not be initialized
To resolve the issue, do run the command, to bypass hardware acceleration
You should have binary called lmp_g++_openmpi. Do a softlink
% ln -s lmp_g++_openmpi lammps
Make and Run USER-GFMD Units Tests
% cd src/USER-GFMD/
% make unittests
[==========] Running 23 tests from 5 test cases.
[----------] Global test environment set-up.
[----------] 5 tests from CrystalSurfaceTest
[ RUN ] CrystalSurfaceTest.fcc100
[ OK ] CrystalSurfaceTest.fcc100 (0 ms)
[ RUN ] CrystalSurfaceTest.fcc100_supercell
[ OK ] CrystalSurfaceTest.fcc100_supercell (11 ms)
[ RUN ] CrystalSurfaceTest.reverse_indices
[ OK ] CrystalSurfaceTest.reverse_indices (0 ms)
[ RUN ] CrystalSurfaceTest.fcc100_3nn
[ OK ] CrystalSurfaceTest.fcc100_3nn (0 ms)
[ RUN ] CrystalSurfaceTest.fcc100_neighbor_shells
[ OK ] CrystalSurfaceTest.fcc100_neighbor_shells (0 ms)
[----------] 5 tests from CrystalSurfaceTest (12 ms total)
% cd src/USER-GFMD/tests
% sh run_tests.sh ../../lmp_g++_openmpi
I had some errors, but it did not look critical. Tests were run without failures
eval.py:83: RuntimeWarning: invalid value encountered in sqrt
pa_xy = np.where(r_xy<a, p0*np.sqrt(1-(r_xy/a)**2), np.zeros_like(r_xy))
Ran 20 tests; 0 failures, 20 successes.
While nothing can beat the notoriety of the long-standing LINPACK benchmark, the metric by which supercomputer performance is gauged, there is ample room for a more practical measure. It might not garner the same mainstream headlines as the Top 500 list of the world’s largest systems, but a new benchmark may fill in the gaps between real-world versus theoretical peak compute performance.
The reason this new high performance computing (HPC) benchmark can come out of the gate with immediate legitimacy is because it is from the Standard Performance Evaluation Corporation (SPEC) organization, which has been delivering system benchmark suites since the late 1980s. And the reason it is big news today is because the time is right for a more functional, real-world measure, especially one that can adequately address the range of architectures and changes in HPC (from various accelerators to new steps toward mixed precision, for example).
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The SPEChpc 2021 suite includes a broad swath of science and engineering codes that are representative (and portable ) across much of what we see in HPC.
– A tested set of benchmarks with performance measurement and validation built into the test harness. – Benchmarks include full and mini applications covering a wide range of scientific domains and Fortran/C/C++ programming languages. – Comprehensive support for multiple programming models, including MPI, MPI+OpenACC, MPI+OpenMP, and MPI+OpenMP with target offload. – Support for most major compilers, MPI libraries, and different flavors of Linux operating systems. – Four suites, Tiny, Small, Medium, and Large, with increasing workload sizes, allows for appropriate evaluation of different-sized HPC systems, ranging from a single node to many thousands of nodes.